Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A portable mass airflow (MAF) training module configured to simulate an air intake into an internal combustion engine, comprising: an in-line blower that is configured to draw an airflow through an air filter by way of a first air duct and a second air duct; a throttle assembly that is coupled between the first air duct and the second air duct; a MAF sensor and a duct velocity sensor that are coupled with the second air duct and configured to provide airflow information; and an outer enclosure that is configured to house at least the in-line blower and the throttle assembly.
2. The training module of claim 1 , wherein the outer enclosure is comprised of a filter-housing region that is configured to interface with the air filter.
This invention relates to a training module for air filtration systems, specifically addressing the need for improved structural integration between the module and an air filter. The module includes an outer enclosure designed to house and support filtration components, with a key feature being a filter-housing region. This region is specifically configured to interface with an air filter, ensuring proper alignment, secure attachment, and efficient airflow during operation. The design optimizes the connection between the module and the filter, reducing installation errors and enhancing filtration performance. The filter-housing region may include mechanical or magnetic coupling mechanisms to facilitate quick and reliable attachment. The overall structure ensures that the air filter is correctly positioned within the system, maintaining optimal filtration efficiency and system reliability. This solution is particularly useful in environments where consistent air quality is critical, such as industrial, medical, or HVAC applications. The invention improves upon prior art by providing a more robust and user-friendly interface between the training module and the air filter, addressing common issues related to misalignment or improper sealing.
3. The training module of claim 2 , wherein at least a differential pressure sensor and a filter air velocity sensor are coupled with the filter-housing region, near the air filter, the differential pressure sensor being configured to measure a difference between ambient air pressure and an air pressure within the filter-housing region during operation of the in-line blower.
This invention relates to a system for monitoring and maintaining air filters in HVAC or industrial ventilation systems. The system addresses the problem of inefficient filter maintenance, where clogged or degraded filters reduce airflow and system performance, leading to increased energy consumption and potential equipment damage. The invention includes a training module that collects and analyzes data from sensors to assess filter condition and optimize maintenance schedules. The training module is integrated with a filter-housing region near an air filter and includes at least two sensors: a differential pressure sensor and a filter air velocity sensor. The differential pressure sensor measures the pressure difference between ambient air and the air within the filter-housing region during operation of an in-line blower, providing insights into filter clogging or blockage. The filter air velocity sensor measures airflow speed through the filter, further indicating filter performance. By combining these measurements, the system can detect filter degradation early, allowing for timely maintenance and preventing system inefficiencies. The training module processes this sensor data to generate actionable insights, such as maintenance alerts or performance predictions, improving overall system reliability and energy efficiency.
4. The training module of claim 2 , wherein an opening is disposed in the outer enclosure, opposite of the filter-housing region to receive at least a portion of the in-line blower, the opening being configured to provide an exit for the airflow being propelled by the in-line blower.
This invention relates to a training module for a filtration system, specifically addressing the need for efficient airflow management during training or testing of filtration devices. The module includes an outer enclosure with a filter-housing region designed to hold a filter element. A key feature is an opening in the outer enclosure, positioned opposite the filter-housing region, which accommodates at least part of an in-line blower. This opening serves as an exit point for airflow generated by the blower, ensuring proper airflow dynamics during operation. The blower propels air through the filter-housing region, allowing for controlled testing of filtration performance. The design ensures that airflow is directed efficiently, minimizing turbulence and optimizing testing conditions. The module may also include additional components, such as sensors or mounting brackets, to facilitate integration with existing filtration systems. The invention improves the accuracy and reliability of filtration training and testing by providing a structured airflow path and easy access for maintenance or adjustments.
5. The training module of claim 1 , wherein the in-line blower is comprised of an outer, substantially cylindrical canister that retains a fan comprising a plurality of blades that are configured to optimize the airflow drawn through the portable MAF training module, and wherein at least the power output of the in-line blower is variable so as to simulate the air intake of various sizes of the internal combustion engine.
This invention relates to a portable modular air filter (MAF) training module designed for simulating air intake conditions of internal combustion engines. The module addresses the need for a compact, adjustable training tool that replicates real-world engine airflow dynamics for educational or diagnostic purposes. The training module includes an in-line blower with a variable power output to simulate the air intake characteristics of different engine sizes. The blower is housed in an outer, substantially cylindrical canister containing a fan with multiple blades optimized to enhance airflow efficiency. By adjusting the blower's power output, the module can mimic the air intake patterns of various engine configurations, providing a controlled environment for training or testing. The system allows users to observe and analyze airflow behavior under different conditions, aiding in the development of diagnostic skills or the evaluation of filter performance. The modular design ensures portability and ease of integration into existing training setups. The variable airflow simulation capability makes it particularly useful for educational institutions, automotive technicians, or engineers working on engine performance optimization.
6. The training module of claim 1 , wherein the outer enclosure is formed of a rigid, transparent material to facilitate observation and analysis of various components comprising the portable MAF training module.
This invention relates to a portable modular airframe (MAF) training module designed for educational and training purposes in aerospace engineering. The module addresses the need for hands-on learning tools that allow students and trainees to observe and analyze the internal components of an airframe structure. The primary challenge is providing a transparent, durable enclosure that enables clear visibility of internal components while maintaining structural integrity during handling and use. The training module includes an outer enclosure made of a rigid, transparent material, such as acrylic or polycarbonate, which allows users to visually inspect and study the internal components without disassembly. The enclosure is designed to protect the internal components while ensuring they remain fully visible for educational purposes. The module may contain various structural elements, such as frames, ribs, and fasteners, that are representative of real-world airframe designs. These components are arranged in a way that demonstrates their functional relationships and assembly techniques. The transparent enclosure also facilitates real-time observation of mechanical interactions, such as load distribution or stress points, during simulated operational conditions. The module may include additional features, such as removable panels or interactive labels, to enhance the learning experience. The rigid construction ensures durability, allowing the module to be transported and used in different training environments without compromising its structural integrity or visibility. This design supports both individual and group learning, making it a versatile tool for aerospace education.
7. The training module of claim 1 , wherein the outer enclosure is configured to provide a hermetic seal to components housed therein so as to provide a controlled environment for testing and analysis.
This invention relates to a training module for testing and analyzing components in a controlled environment. The module includes an outer enclosure designed to provide a hermetic seal, ensuring that the internal environment remains isolated from external conditions. This sealed environment allows for precise control of factors such as temperature, humidity, and contamination levels, which is critical for accurate testing and analysis of sensitive components. The hermetic seal prevents external air, moisture, or particles from entering the enclosure, maintaining the integrity of the testing conditions. This is particularly useful in industries where component performance must be evaluated under specific environmental conditions, such as aerospace, medical devices, or semiconductor manufacturing. The controlled environment ensures that test results are reliable and reproducible, reducing variability caused by external factors. The module may also include additional features, such as sensors or actuators, to monitor and adjust environmental parameters during testing. The hermetic seal is achieved through the use of high-quality sealing materials and precise manufacturing techniques, ensuring long-term durability and effectiveness. This invention addresses the need for reliable, isolated testing environments in industries where component performance is highly sensitive to external conditions.
8. The training module of claim 1 , wherein a mounting panel is disposed within the outer enclosure to provide a surface area for mounting certain control peripheral devices, the mounting panel being comprised of a relatively lightweight, rigid material such as aluminum or titanium, so as to minimize the weight of the MAF training module.
This invention relates to a modular training module for military applications, specifically designed to reduce weight while maintaining structural integrity. The module includes an outer enclosure that houses a mounting panel, which provides a surface for attaching control peripheral devices. The mounting panel is constructed from lightweight yet rigid materials such as aluminum or titanium to minimize the overall weight of the training module. The lightweight design is critical for portability and ease of deployment in field training environments. The module is part of a larger system that may include additional components for simulation, control, or monitoring, but the focus here is on the structural and material aspects of the mounting panel. The use of high-strength, low-density materials ensures durability while reducing the load on transportation and handling equipment. This design is particularly useful in military training scenarios where mobility and rapid setup are essential. The module's construction balances strength and weight, making it suitable for rugged field conditions while maintaining the necessary rigidity to support attached peripherals.
9. The training module of claim 1 , wherein the throttle assembly is comprised of a throttle valve that is comprised of a throttle plate that may be rotated within the throttle assembly so as to regulate the airflow through the portable MAF training module.
This invention relates to a portable mass airflow (MAF) training module designed to simulate and regulate airflow for engine control unit (ECU) calibration and diagnostics. The module addresses the need for a portable, adjustable system that can replicate real-world airflow conditions to test and calibrate ECU performance without requiring a full engine setup. The training module includes a throttle assembly with a throttle valve, which contains a rotatable throttle plate. The throttle plate adjusts airflow through the module, allowing precise control over the airflow rate. This adjustable airflow regulation enables accurate simulation of various operating conditions, such as idle, partial throttle, and wide-open throttle scenarios. The module is portable, making it suitable for field testing, calibration, and diagnostic purposes where traditional engine-based testing is impractical. The throttle assembly ensures consistent and repeatable airflow conditions, which is critical for validating ECU responses and tuning parameters. By integrating a rotatable throttle plate within the throttle valve, the system provides fine-grained control over airflow, enhancing the accuracy of ECU calibration. This design simplifies the testing process while maintaining the reliability needed for professional engine diagnostics and performance tuning.
10. The training module of claim 9 , wherein the throttle assembly is comprised of a throttle position sensor coupled with the throttle valve, the throttle position sensor being configured to directly monitor a position of the throttle valve.
This invention relates to a training module for an internal combustion engine, specifically addressing the need for precise control and monitoring of the throttle valve to optimize engine performance and efficiency. The training module includes a throttle assembly that comprises a throttle position sensor directly coupled to the throttle valve. The throttle position sensor is configured to monitor the exact position of the throttle valve in real-time, providing accurate feedback for engine control systems. This direct monitoring ensures precise adjustments to the throttle valve, improving fuel efficiency, reducing emissions, and enhancing overall engine responsiveness. The system may also include additional components such as an actuator to adjust the throttle valve position based on sensor feedback, ensuring optimal air intake for combustion. By integrating the throttle position sensor directly with the throttle valve, the invention eliminates potential inaccuracies from indirect measurements, leading to more reliable engine operation. The training module may further include calibration and diagnostic features to maintain sensor accuracy and system performance over time. This design is particularly useful in automotive and industrial applications where precise throttle control is critical for performance and regulatory compliance.
11. The training module of claim 1 , further comprising a throttle control circuit that includes at least a frequency generator, a duty cycle modulator, a throttle controller, a position feedback, and a proportional-integral-derivative (PID) controller, and wherein an actual throttle position may be compared with a desired throttle position and a difference between the two values may be passed to the PID controller to generate an input signal to the duty cycle modulator, the throttle controller being configured to supply electric power to a motor operably connected to the throttle assembly to move the throttle valve to the desired throttle position.
This invention relates to a training module for a throttle control system, addressing the need for precise and responsive throttle valve positioning in motor-driven applications. The system includes a throttle control circuit designed to regulate the movement of a throttle valve to achieve a desired position. The circuit comprises a frequency generator, a duty cycle modulator, a throttle controller, a position feedback mechanism, and a proportional-integral-derivative (PID) controller. The frequency generator produces a signal that is modulated by the duty cycle modulator to control the throttle valve's movement. The throttle controller supplies electric power to a motor connected to the throttle assembly, driving the valve to the desired position. Position feedback provides real-time data on the actual throttle position, which is compared to the desired position. The difference between these values is fed into the PID controller, which generates an input signal to adjust the duty cycle modulator, ensuring accurate and stable throttle control. This closed-loop system enhances precision and responsiveness, making it suitable for applications requiring fine-tuned throttle adjustments, such as automotive or industrial systems.
12. The training module of claim 1 , wherein the portable MAF training module is coupled with an electronic device by way of a communication link, the electronic device being a device capable of receiving data output from the portable MAF training module and comprising a display area configured to display the data output by way of a suitable graphical user interface (GUI).
This invention relates to a portable MAF (Muscle Activation Function) training module designed to enhance muscle activation and performance. The module is equipped with sensors to monitor muscle activity and generate data outputs, which are transmitted to an electronic device via a communication link. The electronic device, such as a smartphone, tablet, or computer, receives this data and displays it through a graphical user interface (GUI). The GUI presents the muscle activation data in a user-friendly format, allowing individuals to track their progress, adjust training parameters, and optimize muscle engagement. The system enables real-time feedback, helping users refine their training techniques for improved muscle performance. The portable design ensures flexibility, allowing the module to be used in various settings, including home workouts, physical therapy, and athletic training. The communication link between the module and the electronic device ensures seamless data transfer, enabling users to monitor and analyze their muscle activity efficiently. This invention addresses the need for portable, user-friendly muscle training solutions that provide actionable insights for performance enhancement.
13. The training module of claim 12 , wherein the GUI is configured to enable a practitioner to select a desired throttle setting and observe a resultant mass airflow through the portable MAF training module that is measured by the MAF sensor.
This invention relates to a portable mass airflow (MAF) sensor training module designed for educational and diagnostic purposes. The system addresses the need for practical training in understanding how MAF sensors operate in real-world conditions, particularly in automotive or HVAC applications. The training module includes a housing with a MAF sensor, a variable throttle mechanism, and a graphical user interface (GUI). The GUI allows a practitioner to adjust a throttle setting, which simulates airflow restrictions or adjustments in a controlled environment. The MAF sensor measures the resultant mass airflow, providing real-time feedback on how changes in throttle settings affect airflow. This enables users to observe the direct relationship between throttle adjustments and airflow measurements, facilitating hands-on learning and troubleshooting. The module is portable, making it suitable for classroom, workshop, or field training scenarios. The system may also include additional features such as data logging, calibration tools, or comparative analysis to enhance the training experience. The primary goal is to provide an accessible, interactive tool for understanding MAF sensor functionality and performance under varying conditions.
14. The training module of claim 13 , wherein the GUI is configured to demonstrate a relationship between the throttle setting, the mass airflow moving through the portable MAF training module, and a differential pressure across the air filter.
This invention relates to a training module for teaching the operation and calibration of a mass airflow (MAF) sensor, particularly in portable or field training applications. The problem addressed is the need for an effective training tool that visually demonstrates the relationship between throttle settings, airflow dynamics, and filter performance in real time. The training module includes a graphical user interface (GUI) that visually represents how changes in throttle settings affect the mass airflow moving through the system. The GUI also displays the differential pressure across an air filter, allowing users to observe how airflow resistance changes with filter conditions. This helps trainees understand the impact of throttle adjustments on engine performance and air intake efficiency. The system may include sensors to measure airflow and pressure, with the GUI providing real-time data visualization to enhance learning. The training module is designed to be portable, enabling hands-on training in various environments. The invention improves educational outcomes by providing an interactive and visual demonstration of airflow dynamics, throttle response, and filter performance.
15. The training module of claim 1 , further comprising a MAF control appliance that is configured to simulate an accelerator pedal of a motor vehicle.
This invention relates to a training module for motor vehicle operation, specifically focusing on simulating accelerator pedal behavior. The system includes a control appliance designed to mimic the response of an accelerator pedal in a motor vehicle, allowing for realistic training scenarios. The training module is part of a broader system that likely includes other components for simulating vehicle dynamics, driver inputs, or training environments. The MAF (Mass Air Flow) control appliance adjusts parameters to replicate the physical and functional characteristics of an accelerator pedal, ensuring accurate simulation of engine response, throttle control, and other related systems. This simulation is critical for training drivers, testing vehicle control algorithms, or validating hardware-in-the-loop (HIL) systems. The invention addresses the need for realistic, repeatable, and controlled training environments that accurately represent real-world vehicle behavior, particularly in scenarios where accelerator pedal response is a critical factor. The system may also include additional features such as data logging, feedback mechanisms, or integration with other vehicle subsystems to enhance training effectiveness.
16. The training module of claim 15 , wherein the MAF control appliance comprises at least one or more hardware processors, user interface logic, a throttle control, a memory, and sensor logic.
This invention relates to a training module for a Mass Air Flow (MAF) control appliance used in internal combustion engines. The system addresses the challenge of optimizing engine performance by accurately controlling air-fuel mixture ratios, which is critical for efficiency, emissions compliance, and power output. The training module is designed to enhance the functionality of the MAF control appliance, which includes hardware processors, user interface logic, a throttle control, memory, and sensor logic. The hardware processors execute algorithms to process sensor data and adjust throttle settings in real time. The user interface logic allows operators to input parameters or monitor system performance. The throttle control regulates airflow into the engine based on processed data. Memory stores calibration data, historical performance metrics, and control algorithms. Sensor logic interfaces with various sensors to gather real-time data on air intake, temperature, and other relevant parameters. The training module enables the MAF control appliance to learn and adapt to different operating conditions, improving accuracy and responsiveness. This system ensures precise air-fuel mixture control, leading to better engine efficiency and reduced emissions. The integration of hardware and software components allows for dynamic adjustments, making it suitable for various engine types and applications.
17. The training module of claim 16 , wherein the one or more hardware processors are configured to receive and process electronic signals from the throttle control and the sensor logic, and wherein the one or more hardware processors are configured to communicate received signals to the user interface logic whereby the received signals may be displayed on an electronic device by way of a communication link, the electronic device being a device capable of receiving data output from the portable MAF training module and comprising a display area configured to display the data output by way of a suitable GUI.
This invention relates to a portable mass airflow (MAF) training module designed for automotive systems, specifically addressing the need for real-time monitoring and training of MAF sensors. The module includes hardware processors that receive and process electronic signals from a throttle control and sensor logic. These signals are then communicated to a user interface logic, enabling display on an electronic device via a communication link. The electronic device, which may be a smartphone, tablet, or dedicated display, must be capable of receiving data output from the portable MAF training module and must include a display area configured to present the data through a graphical user interface (GUI). The system ensures that users can monitor MAF sensor performance in real time, facilitating training, calibration, and diagnostics. The hardware processors handle signal processing and transmission, while the user interface logic ensures the data is presented in a user-friendly format. This invention improves the accuracy and efficiency of MAF sensor training by providing immediate feedback and visualization of sensor data.
18. The training module of claim 16 , wherein the sensor logic includes one or more modules and logic suitable for receiving electronic signals from the MAF sensor and interpreting the electronic signals in terms of physical quantities, including at least mass airflow, throttle position, air velocity, differential air pressure, and filter air velocity.
This invention relates to a training module for an air quality monitoring system, specifically for processing signals from a mass airflow (MAF) sensor. The system addresses the challenge of accurately interpreting electronic signals from MAF sensors to derive meaningful physical measurements, which are critical for applications such as engine performance monitoring, air filtration systems, and environmental monitoring. The training module includes sensor logic designed to receive and process electronic signals from the MAF sensor. This logic comprises multiple modules and algorithms capable of converting raw sensor data into quantifiable physical parameters. The system interprets these signals to determine mass airflow, throttle position, air velocity, differential air pressure, and filter air velocity. By analyzing these parameters, the system enables precise monitoring and control of air quality and airflow dynamics in various industrial and automotive applications. The sensor logic is structured to handle diverse signal inputs, ensuring accurate and reliable measurements across different operating conditions. This capability enhances the system's adaptability and performance in real-world environments where air quality and airflow conditions may vary significantly. The invention improves upon existing systems by providing a more comprehensive and integrated approach to sensor signal interpretation, leading to better decision-making in air management and monitoring applications.
19. The training module of claim 1 , wherein the GUI is comprised of a multiplicity of specific elements that are configured to enable a practitioner to operate the portable MAF training module.
This invention relates to a portable muscle activation function (MAF) training module designed to assist practitioners in performing targeted muscle activation exercises. The system addresses the need for a portable, user-friendly device that provides guided muscle activation training, particularly for individuals recovering from injuries or those requiring physical therapy. The training module includes a graphical user interface (GUI) with multiple specific elements that allow a practitioner to interact with and control the device. These elements include input controls for selecting exercises, adjusting intensity levels, and monitoring progress. The GUI also displays real-time feedback, such as muscle activation levels and exercise duration, to help practitioners optimize their training sessions. The module is designed to be compact and portable, enabling use in clinical, home, or on-the-go settings. The system may incorporate sensors to detect muscle activity, providing objective data to guide training. The GUI elements are configured to present this data in an intuitive manner, ensuring practitioners can easily interpret and respond to feedback. The module may also include pre-programmed exercise routines tailored to different muscle groups or rehabilitation needs, further enhancing its usability. By providing a structured, interactive training experience, the invention aims to improve muscle activation efficiency, reduce recovery time, and enhance overall physical therapy outcomes. The portable design ensures accessibility, making it suitable for both professional and personal use.
20. The training module of claim 19 , wherein the multiplicity of specific elements is comprised of at least a fan control bar configured to indicate a percentage of electric power being passed to the in-line blower, and one or more numerical display boxes configured to indicate an intake air velocity, a differential pressure across the air filter, and the air velocity across the air filter.
This invention relates to a training module for an air handling system, specifically designed to simulate and display operational parameters of an in-line blower and air filter system. The system addresses the need for training personnel on monitoring and controlling air handling equipment, particularly in environments where precise airflow and pressure management are critical. The training module includes a fan control bar that visually indicates the percentage of electric power being supplied to the in-line blower, allowing users to adjust and observe power distribution in real time. Additionally, the module features numerical display boxes that provide key operational metrics: intake air velocity, differential pressure across the air filter, and air velocity across the air filter. These displays enable users to monitor system performance and understand the relationship between power input, airflow dynamics, and filter efficiency. The module is configured to simulate various operational scenarios, helping users learn how adjustments to the fan control bar affect airflow and pressure conditions. By providing clear visual feedback through the display boxes, the system facilitates hands-on training in maintaining optimal air handling performance while ensuring proper filter maintenance and system efficiency. This approach enhances user proficiency in managing air handling systems in practical applications.
21. The training module of claim 20 , wherein the multiplicity of specific elements further comprises a voltage amplitude chart and a mass airflow chart.
This invention relates to a training module for enhancing the performance of a machine learning model used in automotive systems, particularly for predicting engine parameters. The problem addressed is the need for improved training data to accurately model complex engine behaviors, such as voltage amplitude and mass airflow, which are critical for engine control and diagnostics. The training module includes a multiplicity of specific elements that provide detailed data for training the machine learning model. These elements include a voltage amplitude chart, which records variations in electrical signals across different engine operating conditions, and a mass airflow chart, which tracks airflow rates under varying loads and speeds. The module also incorporates other elements, such as temperature profiles and pressure maps, to create a comprehensive dataset that captures the dynamic interactions between engine components. By integrating these charts and profiles, the training module enables the machine learning model to learn from real-world engine data, improving its ability to predict performance metrics and detect anomalies. The inclusion of voltage amplitude and mass airflow data ensures that the model can accurately interpret electrical and mechanical signals, leading to more precise engine control and fault detection. This approach enhances the reliability and efficiency of automotive systems by providing a robust training foundation for predictive analytics.
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June 9, 2020
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